M. Saeed Dar

2.6k citations
82 papers · 2.2k · h-index 30

Impact in

Papers in

M. Saeed Dar

81 papers receiving 2.1k citations

Peers

M. Saeed Dar
Comparison fields: 5 of 105
  • Physiology 459
  • Cellular and Molecular Neuroscience 1.1k
  • Endocrine and Autonomic Systems 322
  • Neurology 151
  • Pharmacology 297
Replace Taka‐aki Koshimizu with:
Taka‐aki Koshimizu Japan
Jane P. Hughes United Kingdom
Chang Zhu United States
Jianhua Li United States
Susanna M.O. Hourani United Kingdom
David Robertson United States
Juraj Čulman Germany
Maria José da Silva Fernandes Brazil
Che‐Se Tung Taiwan
María J. Guerra Spain
M. Saeed Dar relative to Taka‐aki Koshimizu Japan Taka‐aki Koshimizu's profile →
Citations per field
00.5×2.8×
Taka‐aki Koshimizu · 1×
Citations per year

Countries citing papers authored by M. Saeed Dar

Since Specialization
Citations

This map shows the geographic impact of M. Saeed Dar's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by M. Saeed Dar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M. Saeed Dar more than expected).

Fields of papers citing papers by M. Saeed Dar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by M. Saeed Dar. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by M. Saeed Dar. The network helps show where M. Saeed Dar may publish in the future.

Co-authors

The 25 scholars most cited alongside M. Saeed Dar, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with M. Saeed Dar Line = papers co-authored together M. Saeed Dar links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 82 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1983111
2 201277
3 200370
4 199070
5 201466
6 198565
7 200157
8 199452
9 200152
10 200749
11 199749
12 200547
13 200046
14 201146
15 198845
16 198944
17 198541
18 198837
19 198937
20 201137

About M. Saeed Dar

M. Saeed Dar is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology, Physiology, Endocrine and Autonomic Systems and Endocrinology, Diabetes and Metabolism, having authored 82 papers that have together received 2.2k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (46 papers), Adenosine and Purinergic Signaling (19 papers), Neuroscience of respiration and sleep (18 papers), Nicotinic Acetylcholine Receptors Study (12 papers), Diabetes Treatment and Management (11 papers), Ion channel regulation and function (10 papers), Neurotransmitter Receptor Influence on Behavior (9 papers) and Cannabis and Cannabinoid Research (6 papers). The work is most often cited by research in Physiology (459 citations), Cellular and Molecular Neuroscience (1.1k citations), Endocrine and Autonomic Systems (322 citations), Neurology (151 citations) and Pharmacology (297 citations). M. Saeed Dar has collaborated with scholars based in United States, South Korea and Pakistan. Frequent co-authors include W. R. Wooles, Mike Clark, S. Jamal Mustafa, Salim S. Al‐Rejaie, Walter J. Pories, Chunxiao Li, Edward R. Bowman, Abdel A. Abdel‐Rahman, Almond J. Drake and John R. Pender. Their work appears in journals such as Alcoholism Clinical and Experimental Research, Pharmacology Biochemistry and Behavior, Brain Research, Journal of Pharmacology and Experimental Therapeutics and Behavioural Brain Research.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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